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Learning Negative Mixture Models by Tensor Decompositions [article]

Guillaume Rabusseau, François Denis
2014 arXiv   pre-print
(i) We show that every rational probability distributions on strings, a representation which occurs naturally in spectral learning, can be computed by a negative mixture of at most two probabilistic automata  ...  Building upon a recent paper on tensor decompositions for learning latent variable models, we extend this work to the broader setting of tensors having a symmetric decomposition with positive and negative  ...  Acknowledgments This work has been carried out thanks to the support of the ARCHIMEDE Labex (ANR-11-LABX-0033) and the A*MIDEX project (ANR-11-IDEX-0001-02) funded by the "Investissements d'Avenir" French  ... 
arXiv:1403.4224v2 fatcat:bmdoo5b5rfchzdlahtnsogxrc4

Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback [article]

Michael Wojatzki, Eugen Ruppert, Torsten Zesch, Chris Biemann, DuEPublico: Duisburg-Essen Publications Online, University Of Duisburg-Essen
The dataset and the proceedings are available from the task website.  ...  The Shared Task is a first step in sentiment analysis for this domain.For the GermEval 2017 Shared Task, we received 8 submissions. One submission was withdrawn from the proceedings.  ...  Acknowledgements This work has been supported by the Innovation Alliance between the Deutsche Bahn and TU Darmstadt, Germany, as well as a DAAD WISE internship grant.  ... 
doi:10.17185/duepublico/46421 fatcat:bt6bmmuorrhvtftnxh2sp6dgpa